Bibliographic record
Abstract
PrefaceVolume 5, Innovation and Enterprise within a Communication sphere (2008) ver the course of the last year there have been many changes made to the McMaster Journal of Communication and I would foremost like to welcome you to the new website.We have updated the content and look of the site, giving it a much more collegiate feel, representing both McMaster and the combined Communication Studies and Multimedia program.There is now greater ease of access to all the back issues from Volume 1 through to 5, as well as a more professional layout and design template.This year's theme focused on "Innovation and Enterprise within a Communication sphere" and has highlighted some of the fabulous work done by the students here at McMaster.Our first article draws on Marshall McLuhan's international village and the social networking site Facebook in a unique look at international Facebook "friends."Nathan Nash looks at the link between social media and the global village, concluding that while social networks have brought about some interesting trends in the use of the internet there are important aspects of the global village that it does not speak to.Our second article titled "Television Study: "Gossip Girl" and It's Affects on Viewer's Fashion" looks at the impact of costuming on the CW network's popular teen drama "Gossip Girl" and its effects on viewer's personal fashion choices.Marie Romeo explores this theme through a content analysis using three independent coders to discover if wardrobe is a predominant aspect of Gossip Girl.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.522 | 0.347 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".